After some years in which information management has been centralized in cloud platforms,
the need to implement architectures that perform more efficient and intelligent management …

The Industry 4.0 revolution has been made possible via AI-based applications (eg, for
automation and maintenance) deployed on the serverless edge (aka fog) computing …

The rapid proliferation of low-latency and high-bandwidth applications has brought edge
computing to the forefront of mobile network architectures. However, the strategic placement …

In recent years, microservices, as an emerging technology in software development, have
been favored by developers due to their lightweight and low-coupling features, and have …

With the development of cloud-native technologies, microservice-based software systems
face challenges in accurately localizing root causes when failures occur. Additionally, the …

As artificial intelligence (AI) applications continue to expand, there is a growing need for
deep neural network (DNN) models. Although DNN models deployed at the edge are …

We present a framework for achieving end-to-end management objectives for multiple
services that concurrently execute on a service mesh. We apply reinforcement learning (RL) …

In past couple of years, cloud computing has emerged as one of the fastest growing
technologies across the globe. In order to keep pace with the advancements taking place in …

Today Edge computing is witnessing an essential interest in new use cases, especially after
the introduction of 4G and 5G. Today's many applications/sectors are also heavily investing …

Abstract Service caching is an emerging solution to addressing massive service request in a
distributed environment for supporting rapidly growing services and applications. With the …